Data Engineer with Python Programming Skills

AtkinsRéalis India
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AI Summary

We are seeking an experienced data engineer with strong expertise in data engineering and Python programming to design scalable data pipelines, ensure data quality, and enable end-to-end machine learning model deployment in production environments.

Key Highlights
Proven experience in data engineering
Hands-on experience with MLOps tools
Strong programming skills in Python and SQL
Key Responsibilities
Designing scalable data pipelines using tools such as Apache Spark, Databricks, Azure Data Factory
Ensuring data quality and governance
Enabling end-to-end machine learning model deployment in production environments
Technical Skills Required
Data Engineering Python SQL ETL/ELT Data Modelling Performance Tuning Apache Spark Databricks Azure Data Factory Machine Learning Operations (MLOps) MLflow Kubeflow Azure ML Cloud Platforms (Azure) Git GitHub Actions Azure DevOps
Benefits & Perks
Comprehensive life insurance coverage
Premium medical insurance for employees and dependents
Generous annual leave balance
Flexible and hybrid work solutions
Remote work opportunities outside of country
Company gratuity scheme
Discretionary bonus program
Relocation assistance
Employee Wellbeing Program
Nice to Have
Certifications in Data Engineering, Cloud Platforms, or MLOps

Job Description


Overview

We are looking for an experienced professional with strong expertise in Data Engineering and Python Programming. This role involves designing scalable data pipelines, ensuring data quality and governance, and enabling end-to-end machine learning model deployment in production environments. You will collaborate with data scientists, architects, and business stakeholders to deliver data-driven solutions that power advanced analytics and AI initiatives.

Your role

  • Proven experience in Data Engineering (ETL/ELT, data modelling, performance tuning).
  • Hands-on experience with MLOps tools such as MLflow, Kubeflow, or Azure ML.(Not mandatory , good to have)
  • Strong programming skills in Python and SQL.(Mandatory )
  • Experience with cloud platforms preferably Azure.
  • Knowledge of CI/CD pipelines and version control (Git, GitHub Actions, Azure DevOps).

About You

  • Proven experience in designing and building scalable data pipelines using tools such as Apache Spark, Databricks, Azure Data Factory
  • Strong proficiency in Python and SQL for data transformation and analysis.
  • Familiarity with cloud platform Azure especially in data storage and compute services.
  • Experience with modern data lakehouse architectures (e.g., Delta Lake)
  • Knowledge of data modeling techniques (e.g., Star Schema, Snowflake Schema)
  • Exposure to CI/CD pipelines for data and ML workflows, ensuring reproducibility and scalability.
  • Understanding of data quality, lineage, and governance in production environments.
  • Ability to work in agile environments and collaborate with cross-functional teams .
  • Strong problem-solving skills and Certifications in Data Engineering, Cloud Platforms, or MLOps are a plus.

Reward & benefits

Explore the rewards and benefits that help you thrive – at every stage of your life and your career.

This Includes

  • Comprehensive life insurance coverage.
  • Premium medical insurance for you and your dependents.
  • Generous annual leave balance.
  • Flexible and hybrid work solutions.
  • Remote work opportunities outside of country.
  • Company gratuity scheme.
  • Discretionary bonus program.
  • Relocation assistance.
  • Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

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